Higgsfield Speech 2 Video Serverless API

 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3from segmind import SegmindClient, InferenceFailed, InferenceTimeout
 4
 5# Async (v2) — recommended for long-running / video models.
 6# run() blocks up to 600s; submit_async + job.wait(timeout=...) sets a longer
 7# deadline and keeps the request_id so you can re-poll later.
 8client = SegmindClient()                      # reads SEGMIND_API_KEY
 9payload = {
10    "input_image": "https://segmind-resources.s3.amazonaws.com/input/03cea2dd-87e9-41d7-9932-fbe45d4b2dd5-434b7481-1ddb-43da-a2df-10928effc900.png",
11    "input_audio": "https://segmind-resources.s3.amazonaws.com/input/a846542c-c555-43ae-bdb0-8795ef78e0bb-8fe7c335-9e7f-4729-8230-b3eabc2af49c.wav",
12    "prompt": "Generate an educational video with clear articulation, gentle hand gestures, and warm facial expressions appropriate for teaching content. All transitions needs to be super realistic and smooth.",
13    "quality": "high",
14    "enhance_prompt": False,
15    "seed": 42,
16    "duration": 10,
17}
18job = client.submit_async("higgsfield-speech2video", **payload)
19print(job.request_id)                         # available immediately
20try:
21    result = job.wait(timeout=900, interval=2.0)
22    print(result["status"])                  # COMPLETED
23    print(result.get("output"))              # model output (e.g. video URL)
24except InferenceTimeout as e:
25    print("still running:", e.request_id)    # re-poll later with this id
26except InferenceFailed as e:
27    print("failed:", e.detail)
28
29# Fast models (<=600s) can use the one-liner instead:
30# result = segmind.run("higgsfield-speech2video", **payload)